On April 13^th, 2023 at 11.30 am Matteo Italia, PHD Student in Information Technology, will give a seminar on "Modeling, Analysis, and Control of Complex Dynamical Diseases: from in-silico models towards in-vivo applications" in DEIB Conference Room.

Human diseases are often associated with complex dynamical characteristics. Complexity is caused by a combination of multiple genetic, environmental, and lifestyle factors. Dynamism refers to illnesses associated with striking changes in the dynamics of some bodily functions. Indeed, most complex diseases show important dynamical characteristics, such as feedbacks, emergent behaviors, and evolutionary adaptations. Additionally, the related dynamical processes show the typical complex phenomena of nonlinear dynamics, e.g., self-sustained oscillations, wave propagation, cluster synchronization, and bifurcations. Therefore, complexity and dynamism are often two complementary sides of the same coin in a severe disease framework.
Understanding, controlling, and steering the evolution of a disease and how to treat patients optimally are important issues that could benefit from the contributions of mathematics, physics, engineering, and control theory in particular. There are still many open questions, especially in the applications of personalized medicine. The increment in data collection, combined with improvements in effective data analysis methods and the ever-increasing computational power available, facilitate the development and perfecting of these approaches.
My research fits into this multidisciplinary context with the general aim of developing and analyzing mathematical dynamical models designed to investigate complex dynamics and solve control problems on real applications to biomedical problems of genetic, nervous systems, and infectious diseases.